Title: GenAI Engineer – Agentic AI & Cloud Engineering
Location : Rockville, MD or McLean, VA
Target Start Date : ASAP
Type: contract
Pay Rate: DOE
We are seeking a hands-on GenAI Engineer to help design, build, and productionize enterprise AI solutions focused on agentic systems, LLM-powered workflows, and intelligent automation platforms. This role is centered on building scalable AI tools and frameworks that transform proof-of-concepts into production-ready applications across the organization.
The ideal candidate combines strong software engineering fundamentals with deep hands-on experience building AI agents, RAG pipelines, MCP integrations, and cloud-native GenAI applications. This is an engineering-first role for someone who actively codes, architects solutions, and thrives in fast-moving AI environments.
This position contributes throughout the software development lifecycle, from architecture and prototyping through deployment, optimization, and operational support.
Key Responsibilities
GenAI & Agentic System Development
- Design and build LLM-powered agent systems using frameworks such as:
- LangChain
- LangGraph
- AWS Strands Agents SDK
- or equivalent agent orchestration platforms
- Develop and productionize:
- AI assistants
- autonomous and semi-autonomous agents
- intelligent workflow automation tools
- MCP-integrated systems
- RAG-based enterprise search and retrieval solutions
- Build agent harness architectures that combine:
- LLM reasoning
- deterministic execution
- tool orchestration
- structured output validation
- guardrails and fallback handling
- Implement:
- agent memory and context management
- tool routing and orchestration
- API integrations
- vector search and retrieval workflows
- secure execution tracing and auditing
- Partner with teams to take POCs and experimental AI concepts into production-scale initiatives
- Help drive internal adoption of AI tooling and identify opportunities to expand GenAI capabilities across engineering teams
AI Platform Engineering & Cloud Infrastructure
- Build scalable AI applications and services on AWS cloud infrastructure
- Develop backend services and APIs supporting agent workflows and AI tooling
- Engineer cloud-native AI solutions leveraging:
- AWS Bedrock
- Lambda
- Step Functions
- S3
- EMR
- EKS/ECS
- API Gateway
- Contribute to CI/CD pipelines, infrastructure automation, observability, and deployment processes
- Ensure secure handling of enterprise and sensitive data within AI systems and workflows
Data & Retrieval Engineering
- Build and optimize retrieval pipelines supporting GenAI applications and RAG architectures
- Develop SQL and Python-based processing for large-scale datasets and retrieval workflows
- Work with high-volume cloud data environments and distributed processing systems
- Support structured and unstructured data ingestion for AI-powered applications
Required Technical Skills
Generative AI & Agentic Systems
- Hands-on experience building:
- AI agents
- agentic workflows
- LLM-powered applications
- RAG pipelines
- Strong understanding of:
- prompt engineering
- memory architectures
- context management
- tool usage and orchestration
- verification and guardrail patterns
- Experience integrating with foundation models such as:
- Anthropic Claude
- OpenAI models
- Amazon Nova
- or equivalent LLM platforms
- Experience communicating with and integrating:
- MCP servers
- APIs
- external tools
- enterprise data sources
Programming & Software Engineering
- Strong hands-on coding ability in:
- Ability to write:
- modular
- maintainable
- production-quality code
- Experience with:
- REST APIs
- backend engineering
- automation frameworks
- test automation
- CI/CD pipelines
Cloud & Infrastructure
- Strong AWS experience including:
- Bedrock
- Lambda
- S3
- EMR
- Step Functions
- CloudWatch
- EKS/ECS
- Experience with:
- Docker
- Kubernetes
- Infrastructure as Code
- GitLab CI / Jenkins / GitHub Actions
AI Engineering Tooling
- Experience using AI-assisted engineering tools such as:
- Amazon Q Developer
- GitHub Copilot
- Claude
- ChatGPT
- Familiarity with AI-assisted software development workflows and rapid prototyping approaches
What Success Looks Like
- Deeply hands-on with GenAI engineering
- Comfortable building systems from concept through production deployment
- Strong technical depth with the ability to rapidly experiment and iterate
- Able to bridge AI concepts, engineering implementation, and scalable enterprise adoption
- Thrives in highly collaborative, innovation-focused environments
Nice to Have
- Vector databases:
- Model tuning / fine-tuning:
- LoRA
- PEFT
- managed tuning platforms
- Observability tooling:
- Grafana
- Prometheus
- ELK stack
- Experience working in regulated or enterprise-scale environments
Education & Experience
- Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field
- Experience building enterprise-grade software solutions and cloud-native applications
- Strong communication and collaboration skills
- Ability to work in fast-paced, rapidly evolving technical environments
Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com .
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